Chemotherapy and COVID-19: Impact on Health, Strength, and Cardiovascular Risk in Cancer Patients
Bibliographic record
Abstract
Abstract Objective: To evaluate and describe the phase angle profile and anthropometric health and fitness indicators of patients undergoing chemotherapy. Materials and Method: The sample included 106 adult and elderly cancer patients, with different types of cancer, undergoing chemotherapy treatment, of both sexes (71 women and 35 men). They underwent anthropometric assessment, tetrapolar bioimpedance, anthropometry, handgrip dynamometry and the international physical activity questionnaire (IPAQ). Results: After the analysis, the Body Mass Index (BMI) showed that 49% had changes in ideal body mass indices (13% below and 36% above ideal). The waist-to-hip ratio of most patients (63.7%) indicated a high (36.4%) and very high (27.3%) risk of developing cardiovascular diseases, with only 27.3% being moderate and 9.1% Low %, with higher risk values in women. In body composition, 62.9% of patients showed important changes in body fat percentage (22.9% below and 35% above recommended), in addition to the high prevalence of reduction in skeletal muscle mass, reaching 76% of those evaluated, indicating possible development of sarcopenia, being more evident in women. The majority of patients also had inadequate strength levels (63.6%), both men and women. Men are approximately 4 times more likely to have an insufficient level of strength. The phase angle with an average below the recommended level was found in 94.8% of the sample. The level of physical activity assessed demonstrated 100% sedentary lifestyle. Conclusion: With the investigation of the variables proposed in this study, we concluded that patients undergoing chemotherapy during the COVID-19 pandemic period had an insufficient level of physical activity, an inadequate level of muscle strength, anthropometric indices and body composition with negative changes, increased cardiovascular risk and low phase angle of reference values in the majority of the sample, with women having the most unfavorable profile. The research project was approved by the institutional review board, no. 5.069.269.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".